Resolution optimization distributions

The analysis of each EO distribution of a multiple alkyl AE should facilitate better characterization protocols. One-dimensional NPLC may provide sufficient resolution for less complicated AE (i.e., Novel II 1412-70 and Brij 35), but 2DLC offers the selectivity to display the EO distribution of each end group independently, which is neither easy nor unambiguous to extract from one-dimensional data. 2DLC is a powerful technique not only to separate materials, but also to aid in identification, characterization, analytical trouble shooting, synthesis optimization, and quality control. 

In the quest for optimal FRET resolution in three dimensions [48, 49], one requires sophisticated algorithms for analyzing complex distributions [48, 50, 51], An issue of particular relevance when multiple probes [52-54] and multiparametric detection [26, 55] are employed. Strategies for spatial superresolution [56] have spawned a family of acronyms RESOLFT, STED, STORM, astigmatic STORM, PALM, fPALM, sptPALM, PALMIRA ([57-59] and other references), some of which involve systematic photoconversion or destruction. Undoubtedly, these techniques will be applied systematically to FRET imaging, and, conversely, one can anticipate that FRET mechanisms will be exploited for achieving superresolution. 

Because both Rs and Rs are proportional to VN, the normalized product of Rs values is equal to that of the S values, and both are independent of the number of plates. The normalized resolution product (r) will vary from zero, in the case where one or more pairs of peaks show no resolution, to one, if the resolution is equal for all the pairs of peaks in the chromatogram. Therefore, in choosing r as the optimization criterion the aim is to achieve an equal distribution of the peaks over the chromatogram. 

---